Expired50% confidenceReleaseExact time
Google DeepMind open-sourced Gemma 4, with 31B parameters, featuring a native multimodal design that omits the traditional encoder structure.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/15/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/13/2026(expired)
Sources
Related Claims
VerifiedThe speculative decoding paradigm was proposed almost simultaneously by teams at Google Brain and DeepMind in 2023.69% similarUnverifiedGoogle has launched CodecDB, a cloud-based database that aggregates codec performance and compatibility data from real devices to provide data-driven codec recommendations67% similarVerifiedSpeculative decoding was formally proposed by Google DeepMind in 2023; overall throughput can be improved by 2–3 times, and the output quality is completely equivalent to that of the original large model.67% similarUnverifiedGoogle DeepMind's CaMeL framework (2025) proposes a systematic defense scheme that isolates instruction execution from content parsing through a dual-LLM architecture.66% similarUnverifiedGoogle's open-source model Gemma 4 went live on the Cerebras inference platform, running at a speed of 1500+ tokens per second based on 31B open-source weights, achieving approximately 15x acceleration.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/523016API
curl https://kongchang.com/api/v1/knowledge/claims/523016MCP
get_claim(id=523016)